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Autor/inn/enCevikbas, Mustafa; Kaiser, Gabriele; Schukajlow, Stanislaw
TitelA Systematic Literature Review of the Current Discussion on Mathematical Modelling Competencies: State-of-the-Art Developments in Conceptualizing, Measuring, and Fostering
QuelleIn: Educational Studies in Mathematics, 109 (2022) 2, S.205-236 (32 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Kaiser, Gabriele)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1954
DOI10.1007/s10649-021-10104-6
SchlagwörterMathematical Models; Mathematics Skills; Competence; State of the Art Reviews; Mathematics Tests; Measurement
AbstractMathematical modelling competencies have become a prominent construct in research on the teaching and learning of mathematical modelling and its applications in recent decades; however, current research is diverse, proposing different theoretical frameworks and a variety of research designs for the measurement and fostering of modelling competencies. The study described in this paper was a systematic literature review of the literature on modelling competencies published over the past two decades. Based on a full-text analysis of 75 peer-reviewed studies indexed in renowned databases and published in English, the study revealed the dominance of an analytical, bottom-up approach for conceptualizing modelling competencies and distinguishing a variety of sub-competencies. Furthermore, the analysis showed the great richness of methods for measuring modelling competencies, although a focus on (non-standardized) tests prevailed. Concerning design and offering for fostering modelling competencies, the majority of the papers reported training strategies for modelling courses. Overall, the current literature review pointed out the necessity for further theoretical work on conceptualizing mathematical modelling competencies while highlighting the richness of developed empirical approaches and their implementation at various educational levels. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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